AI coding agent cost optimization

Whether your team runs Claude Code, Cursor, or Codex, the bill grows for the same reasons: agents read too much, rediscover the same files, and produce verbose output. The fixes are mostly repo-level, and they can be enforced in CI so they don't regress.

Where the spend actually goes

Three buckets dominate: context bloat (the agent ingests generated folders, lockfiles, and large blobs), discovery churn (repeated grep → read loops because nothing tells the agent where things are), and output verbosity (no response shaping, so every answer is an essay). None of these need a model change to fix.

Repo-level levers

An agent instruction file (CLAUDE.md, AGENTS.md) that front-loads structure, commands, and conventions.
Ignore rules (.claudeignore, .cursorignore) for generated and vendored files.
A static repo map so the first turn opens the right file.
A clear test/verification path so the agent stops looping on uncertain changes.

Team-level levers

Standardize the above across repos instead of leaving each dev to wing it.
Route exploration to a cheaper model so the expensive model only does the work that needs it.
Put a cost-leak threshold in CI so a noisy new directory or a deleted CLAUDE.md gets caught on the PR, not on the invoice.

The CI gate

A pinned GitHub Action can fail the build when a repo's agent-cost-leak score rises above your threshold:

name: Agent cost leak check
on: [pull_request]
jobs:
  agent-cost-leak:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: sravan27/context-os@v2.9.0
        with:
          max-score: "40"

The method is open source and benchmarked: context-os measured −40.9% total tokens and −35.3% wall-clock on a 36-call A/B (Sonnet; p=5.1e-7). Your repo will differ.

Get a number for your repo

Run the free public-repo scan to see your leak score and findings. For private repos and team rollouts, the 48-hour audit ships a report, a tuned CI gate, and a concrete fix path; the handoff tier adds an architecture map and operator runbook.

Run the free scan Request invoice

Limits: this reduces and catches waste; it does not raise provider rate limits or guarantee a specific dollar saving. Results depend on repo size, language, and current workflow.

Independent service. Not affiliated with, endorsed by, or sponsored by Anthropic, Cursor, or OpenAI. Trademarks belong to their respective owners. · CLAUDE.md audit · Reduce token usage